Dr. Pavlov’s research lies at the intersection of traditional economics and system dynamics. He uses multi-sector computational analysis that accounts for feedback and resistance to change often exhibited by complex systems. He published on such topics as structural debriefing, service science, computational finance, peer-to-peer systems, electronic communication, political economy and economic growth. Dr. Pavlov’s recent research project was on mental models of financial instability, which he conducted jointly with the Federal Reserve. His work appeared in System Dynamics Review, Simulation & Gaming, Management Communication Quarterly, Computational Economics, Journal of Economic Dynamics and Control, Journal of the Operational Research Society, and other journals. Dr. Pavlov is past president of the Economics Chapter of the System Dynamics Society and a Coleman Foundation Faculty Entrepreneurship Fellow. He has taught economics, system dynamics and business courses in the US, Russia, China, UK, Ireland and Finland. Dr. Pavlov holds a B.S. in Physics/Computer Science as well as M.A. and Ph.D. in Economics from University of Southern California and an M.B.A. from Cornell University.